Usability and User Experience Design The Comprehensive Guide to Data-Driven UX Design
ca. € 59,95
Lieferbar ab 01.06.2024
ca. € 59,95
Verfügbar ab 01.06.2024
Rheinwerk Computing, ISBN 978-1-4932-2496-8
E-Book-Formate: PDF, EPUB, Online
Rheinwerk Computing, ISBN 978-1-4932-2497-5
Calling all designers and developers! This is your all-in-one guide to data-driven UX design for digital products. See how an effective user experience incorporates insights from psychology, design principles, and practical data. Follow a proven approach for selecting your design methods, and then walk through the data-driven UX design process in detail: perform context analysis, specify requirements, develop solution prototypes, and test your products. Learn from example case studies and full-color illustrations to take your design to the next level!
- Design digital products for B2C, B2B, and medical applications that provide outstanding user experience
- Plan your design, perform context of use analyses, and identify requirements
- Develop and evaluate design solutions, from the prototyping phase to the testing and review stage
In this book, you’ll learn about:
Theory of Design
What makes design effective? Get to know the building blocks that create an incredible user experience: ergonomics and usability, data evaluation, user research, human information processing, design principles, and more.
UX Design Process
Master data-driven UX design. Explore methods to analyze the context of use for your design project. Use techniques such as prototypes and wireframes to develop a design solution, and then refine it through usability and UX testing.
Design in Action
See examples of design come to life! Follow three case studies that illustrate the design process for digital products: a B2C mobility application, a B2B customer relationship management application, and a B2C/B2B medical appointment portal.
- Data-driven UX design
- B2B and B2C applications
- User researcher skills
- Psychological foundations
- Design principles
- Context of use analysis
- Requirements formulation
- Prototypes and wireframes
- Design testing and evaluation
- Decision matrices
- Use cases